Flexible Intelligent Learning Architectures for Systems of Systems (FILA-SoS)


Principal Investigator:  Dr. Cihan Dagli, Missouri University of Science and Technology (dagli@mst.edu)

Timeframe:  Phase I:  September 2011 to September 2012; Phase II:  October 2012 to October 2013; Phase III:  February 2014 to January 2015

Category: Enterprise Systems and System of Systems


Description

Objectives:  To develop a proof of concept integrated model  (Flexible Intelligent Learning Architectures for System-of-Systems FILA-SoS) for architecture selection and evolution as a decision making tool for cooperative, semi-cooperative, and non-cooperative systems based on a wave processing model.

Approach:  Flexible Intelligent Learning Architectures for Systems of Systems (FILA-SoS) achieves the required capability goal by combining existing systems methods and adding new capabilities. The integrated system model is decomposes the problem into three main elements:  System of Systems acquisition environment, System of Systems behavior, and Individual System behavior.  Multi-level optimization models and fuzzy-genetic optimization models are used together along domain-specific assessment models to generate initial meta-architecture.  The meta-architecture is then used to negotiate possible implementations by the System of Systems manager through an incentive-based contracting negotiation model leveraging game theory.  Individual systems can use three kinds of negotiation models based on their negotiation strategies: Selfish Linear Optimization model, Semi-cooperative Fuzzy Negotiation model, and Opportunistic Markov chain model.  Additional project phases allow for more leveraged integration methods for meta-architecture creation and account for differentiation of Individual system cooperativeness.

Application:  The FILA-SoS model is developed under three System-of-System problems:

  • Airborne Intelligence, Surveillance and Reconnaissance (ISR) acquisition problem
  • Cost Guard Search and Rescue (SAR) engineering and development problem
  • Aircraft Carrier Performance Assessment (“Toy Problem”) support system and mission fulfillment

Publications

Wang, R., Agarwal,S., & Dagli, C. (2014). Executable System of Systems Architecture Using OPM in Conjunction with Colored Petri Net: A Module for Flexible Intelligent & Learning Architectures for System of Systems, In Europe Middle East & Africa Systems Engineering Conference (EMEASEC).

Ergin, N. K.,(2014), Improving Collaboration in Search and Rescue System of Systems, Procedia Computer Science, Volume 36, Pages 13-20.

Agarwal, S., & Dagli, C. H. (2013). Augmented Cognition in Human–System Interaction through Coupled Action of Body Sensor Network and Agent Based Modeling. Procedia Computer Science, 16, 20-28.

Acheson, P., Dagli, C., & Kilicay-Ergin, N. (2013). Model Based Systems Engineering for System of Systems Using Agent-based Modeling. Procedia Computer Science, 16, 11-19.

Agarwal, S., Pape, L. E., & Dagli, C. H. (2014). A Hybrid Genetic Algorithm and Particle Swarm Optimization with Type-2 Fuzzy Sets for Generating Systems of Systems Architectures. Procedia Computer Science, 36, 57-64.

Agarwal, S., Pape, L. E., Kilicay-Ergin, N., & Dagli, C. H. (2014). Multi-agent Based Architecture for Acknowledged System of Systems. Procedia Computer Science, 28, 1-10.

Agarwal, S., Saferpour, H. R., & Dagli, C. H. (2014). Adaptive Learning Model for Predicting Negotiation Behaviors through Hybrid K-means Clustering, Linear Vector Quantization and 2-Tuple Fuzzy Linguistic Model. Procedia Computer Science, 36, 285-292.

Agarwal,S., Wang, R., & Dagli, C., (2015) FILA-SoS, Executable Architectures using Cuckoo Search Optimization coupled with OPM and CPN-A module: A new Meta-Architecture Model for FILA-SoS, France, Complex Systems Design & Management (CSD&M) editor, Boulanger, Frédéric, Krob, Daniel, Morel, Gérard, Roussel, Jean-Claude, P 175-192 . Springer International Publishing.

Pape, L., Agarwal, S., Giammarco, K., & Dagli, C. (2014). Fuzzy Optimization of Acknowledged System of Systems Meta-architectures for Agent based Modeling of Development. Procedia Computer Science, 28, 404-411.

Pape, L., & Dagli, C. (2013). Assessing robustness in systems of systems meta-architectures. Procedia Computer Science, 20, 262-269.

Pape, L., Giammarco, K., Colombi, J., Dagli, C., Kilicay-Ergin, N., & Rebovich, G. (2013). A fuzzy evaluation method for system of systems meta-architectures. Procedia Computer Science, 16, 245-254.

Acheson, P., Dagli, C., & Kilicay-Ergin, N. (2013). Model Based Systems Engineering for System of Systems Using Agent-based Modeling. Procedia Computer Science, 16, 11-19.

Acheson, P., Dagli, C., & Kilicay-Ergin, N. (2014). Fuzzy Decision Analysis in Negotiation between the System of Systems Agent and the System Agent in an Agent-Based Model. arXiv preprint arXiv:1402.0029.

Kilicay-Ergin, N. H., Acheson, P., Colombi, J. M., & Dagli, C. H. (2012). Modeling system of systems acquisition. In SoSE (pp. 514-518).

Acheson, P., Pape, L., Dagli, C., Kilicay-Ergin, N., Columbi, J., & Haris, K. (2012). Understanding System of Systems Development Using an Agent-Based Wave Model. Procedia Computer Science, 12, 21-30.

Konur, D., & Dagli, C. (2014). Military system of systems architecting with individual system contracts. Optimization Letters, 1-19.

Dagli et al., 2015 Flexible and Intelligent Learning Architectures for SoS (FILA-SoS): Architectural evolution in Systems-of-Systems, 2015 Conference on Systems Engineering Research.

Ergin, D., & Dagli, C., Incentive Based Negotiation Model for System of Systems Acquisition. (Accepted by Systems Engineering Journal).

Wang, R., & Dagli, C., Search Based Systems Architecture Development Using Holistic Approach (Accepted to IEEE Systems Journal with minor revisions).

Research team

Current researchers:

  • Dr. Cihan H. Dagli, Missouri University of Science and Technology
  • Dr. David Enke, Missouri S&T
  • Dr. Nil Ergin, Penn State University
  • Dr. Dincer Konur, Missouri S&T
  • Dr. Ruwen Qin, Missouri S&T
  • Dr. Abhijit Gosavi, Missouri S&T
  • Dr. Renzhong Wang Missouri S&T
  • Mr. Louis Pape II, Missouri S&T
  • Mr. Siddhartha Agarwal, Missouri S&T
  • Mr. Ram Deepak Gottapu, Missouri S&T

Past researchers:

  • Dr. Kristin Giammarco, Naval Postgraduate School
  • Dr. George Rebovich, Systems Engineering Practice Office, MITRE
  • Mr. Khaled Haris, Missouri S&T
  • Ms. Paulette Acheson, Missouri S&T

FILA-SoS v2.0 Model

FILA-SoS v2.0 Model

Collaborating Institutions

Project Researchers